Computational & Systems Biology
At the Lobo Lab we are interested in understanding, controlling, and designing the dynamic regulatory mechanisms that direct complex biological processes. We develop new computational systems that can generate models, hypothesis, and theory from experimental data — automatically. We seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology.
- Eric Cheung joins the lab as an undergraduate researcher. Welcome Eric!
- Daniel gives a talk at the Computational Medicine and Bioinformatics Seminar Series at the University of Michigan, Ann Arbor.
- Caroline, Junaid, and Joy present posters at the 20th Annual Undergraduate Research Symposium in the Chemical and Biological Sciences at UMBC.
We develop computational methods to automatically reverse engineer dynamic models, discover novel elements, and find the best next experiments to test.
We build quantitative mathematical models to understand, analyze, and predict the behavior of biological systems.
We create ontologies, curate databases, and develop expert systems used by both human scientists and artificial intelligence machines.
We study how shapes and patterns are form from a single cell during development and restored through regeneration.
We seek to understand why and how regulatory mechanism go awry to produce cancer and other diseases.
We design novel regulatory networks with desired dynamics and useful behaviors and functions to solve specific bioengineering problems.